Servicenow, Machine Learning, Artificial Intelligence, C++, Google Cloud, Tensorflow, Data Science, Git, Pytorch, Gcp, Python, RAGAS, Architect, Consulting, experimentation

Java, Sql, MLops, Python, LangChain, LLaMA, Data preprocessing, LLMOps, Claude, Pinecone, vLLM, Feature engineering, LMDeploy, LangGraph, FAISS, Milvus, OpenAI, Gemini, Weaviate, Model evaluation

Spark SQL, Tensorflow, Pytorch, Linux, Apache Kafka, Databricks, Api, Keras, Python, Gemini API, Ai, OpenAI API, Apache Parquet, AI Evaluation, low latency, Responsible AI, Claude API, Gemini, Model Quantisation, Prompt Injection

Prometheus, Grafana, Kubernetes, Python, RDMA, GitOps, Go, NVSwitch, Volcano, NVIDIA NVL72 GB300, OpenTelemetry, KAI, NVLink, GPU scheduling, YuniKorn, Kueue, Slurm

Tensorflow, Cloud Services, Pytorch, Python, machine learning frameworks, AI-based video processing, DevOps practices, Azure AI, video analytics

API design, Data Architecture, Microservices, LLM integration patterns, Prompt engineering, Model-agnostic abstraction layers, Containerisation, RAG architectures

Phoenix, Datadog, Python, LLM-based systems, OpenTelemetry, Langfuse, evaluation frameworks, multi-agent environment, Arize

Databases, Apis, Distributed Systems, System Design, AI reliability evaluations, production risks, message queues, LLM products, product analytics, Infrastructure, Caching, frontend systems, agentic AI systems, prompting, RAG, guardrails

data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures